Relational model of public-private partnership in railway transport by N. F. Sirina, V. P. Pershin

“…The general algorithm of the relational model of interaction between investment parties is formalized, illustrated by the example of the implementation of a project for the construction of a railway transport infrastructure.Mathematical support for the process of considering information on the project and making a decision on concluding an agreement on public-private partnership was carried out in the program “Automated system for consolidation, selection and control of the implementation of innovative projects of concession forms of management in railway transport”. …”
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Generalized solution of boundary value problem with an inhomogeneous boundary condition by Elmira Abdyldaeva, Gulbarchyn Taalaibek Kyzy, Bermet Anarkulova

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Optimized design of high-strength leaf chain based on response surface methodology by LIU Meiqi, FENG Zengming, ZHOU Zhidi

“…ObjectiveAiming at the insufficient fatigue life of high-strength leaf chains for forklifts under low-speed heavy-load conditions, a collaborative optimization framework integrating Response Surface Methodology (RSM) and multi-objective genetic algorithm (MOGA) is proposed to enhance reliability and optimize stress distribution.MethodsBased on transient dynamic analysis using ANSYS Workbench, the edge of the chain plate hole was identified as the critical stress concentration region. …”
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Investigation of an Optimized Linear Regression Model with Nonlinear Error Compensation for Tool Wear Prediction by Lihua Shen, Baorui Du, He Fan, Hailong Yang

“…Firstly, a linear prediction benchmark model is constructed: Support Vector Regression (SVR) is used to preliminarily model the tool wear process, obtaining initial prediction results and their error distribution. …”
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Dynamic weighing method for coal and gangue in coal-gangue sorting robots by CAO Xiangang, LIU Yizhe, WU Xudong, WANG Peng, ZHANG Ye

“…With the addition of the IQR algorithm, the weighing error of the dynamic weighing model was further reduced to 4.69%, representing a 61.74% reduction compared to the case without triaxial acceleration compensation and the IQR algorithm. …”
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Multiparameter Causal Models for the Estimation and Explainability of Wildfire Burned Area by Amir Mustofa Irawan, Merce Vall-Llossera, Carlos Lopez-Martinez, Adriano Camps, Gerard Portal, Alberto Alonso-Gonzalez, Miriam Pablos

“…This study employs a data-driven causal discovery approach using the Peter–Clark algorithm with momentary conditional independence (PCMCI) to analyze the time-series data and construct causal graphs. …”
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Transformer fault diagnosis using machine learning: a method combining SHAP feature selection and intelligent optimization of LGBM by Cheng Liu, Weiming Yang

“…Following this, the bald eagle search (BES) intelligent optimization algorithm is utilized to optimize the hyperparameters of the light gradient boosting machine (LGBM) model, further improving its predictive capability. …”
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Tactical Helicopter Transportation Planning for Offshore Personnel on the Norwegian Continental Shelf by Irina Gribkovskaia, Gaute Øiestad Slettemark

“…This results in the construction of a repetitive weekly flight program, integrating the selection of helicopter resources optimally matching demand with the generation of a weekly timetable of flights assigning them to start times. …”
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Revolutionize 3D-Chip Design With Open3DFlow, an Open-Source AI-Enhanced Solution by Yifei Zhu, Zhenxuan Luan, Dawei Feng, Weiwei Chen, Lei Ren, Zhangxi Tan

“…<italic>Open3DFlow</italic>&#x2019;s open-source nature allows seamless integration of custom AI optimization algorithms. As a showcase, we leverage large language models (LLMs) to help the bonding pad placement. …”
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A new three-dimensional mesh modeling method for geological bodies containing complex faults in geological engineering by Wenli Gao, Xinming Lu, Shengzhe Hou, Tianyu Zhang, Wenting Liu

“…A model stitching strategy based on the ear clipping algorithm was proposed to incorporate fine fault models into the modified original model. …”
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Distributionally Robust Operation for Flexible Distribution Networks Considering Multi-correlation of Renewable Power Generation by Zhiwei LIU, Yue MA, Zhicheng SHA, Yunshu SHAO, Yuanfang NIU, Xiaoming DONG, Chengfu WANG

“…The integration of a high proportion of distributed renewable energy sources (DRES) and a substantial number of fully controllable flexible power electronic devices has brought more clean electrical energy and control options to traditional distribution networks. …”
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A New Approach Based on Metaheuristic Optimization Using Chaotic Functional Connectivity Matrices and Fractal Dimension Analysis for AI-Driven Detection of Orthodontic Growth and D... by Orhan Cicek, Yusuf Bahri Özçelik, Aytaç Altan

“…Our results highlight the effectiveness of integrating chaotic FC matrices and AI in orthodontic practice. …”
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High-Order Disturbance Observer-Based Fuzzy Fixed-Time Safe Tracking Control for Uncertain Unmanned Helicopter with Partial State Constraints and Multisource Disturbances by Ruonan Ren, Zhikai Wang, Haoxiang Ma, Baofeng Ji, Fazhan Tao

“…Firstly, a developed safety protection algorithm is integrated with the fixed-time stability theory, which assures the tracking performance and guarantees that the partial states are always constrained within the time-varying safe range. …”
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Convex Optimization and PV Inverter Control Strategy-Based Research on Active Distribution Networks by Jiachuan Shi, Sining Hu, Rao Fu, Quan Zhang

“…Firstly, to pick out the ADN “key” nodes, a “key” nodes selection approach that used improved K-means clustering algorithm and two indexes (integrated voltage sensitivity and reactive power-balance degree) is introduced. …”
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Comprehensive prevention and control strategy for top coal fire based on the intelligent mine comprehensive management and control platform by Miao ZHAO

“…Through the construction of a fire comprehensive prevention and control center on the intelligent mine integrated management and control platform, the fire situation in the goaf can be more effectively monitored, the accuracy of intelligent analysis and early warning can be improved, and the reliability of collaborative prevention and control can be enhanced. …”
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A Systematic Review and Evolutionary Analysis of the Optimization Techniques and Software Tools in Hybrid Microgrid Systems by Kawakib Arar Tahir

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GRU-LSTM model based on the SSA for short-term traffic flow prediction by Changxi Ma, Xiaoyu Huang, Yongpeng Zhao, Tao Wang, Bo Du

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Structural health monitoring and evaluation method for an immersed tunnel based on deep learning by Yuhang Wei, Jinfang Hou, Linhu Yang, Bin Li, Zonghao Ma, Zhao Liu, Wenhao Sun, Binlei Wang

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Optimal control for fixed and inverter air conditioning groups considering interaction willingness in scenarios by Ting YANG, Xiao ZHU, Danhong LU, Yuying WANG, Yan LI, Aidong ZENG

“…The osprey-Cauchy-sparrow search algorithm （OCSSA） is applied to solve and obtain multi-scenario control instructions for fixed and inverter air conditioners. …”
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Optimization Strategy Based on Users Commuting Behavior for Home Energy Management by JIANG Xinke, LIU Chun, TAO Yibin, ZHANG Xuesong, WANG Xiangjin, ZHANG Yong, YANG Xingwu

“…Secondly，the hybrid particle swarm is integrated with chaotic algorithm and immune algorithm. …”
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